chapter30

所属分类:matlab编程
开发工具:matlab
文件大小:787KB
下载次数:109
上传日期:2014-08-25 22:59:36
上 传 者mayoi36
说明:  基于随机森林思想的组合分类器设计——乳腺癌诊断
(Artificial Neural Networks)

文件列表:
chapter30 (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02 (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\Compile_Check (856, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\Makefile (2693, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\Makefile.windows (2523, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\Version_History.txt (1311, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\classRF_predict.m (2166, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\classRF_train.m (14829, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\compile_linux.m (557, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\compile_windows.m (1589, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\data (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\data\X_twonorm.txt (96300, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\data\Y_twonorm.txt (600, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\data\twonorm.mat (48856, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\mexClassRF_predict.mexw32 (20480, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\mexClassRF_train.mexw32 (32256, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\precompiled_rfsub (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\precompiled_rfsub\linux64 (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32 (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\precompiled_rfsub\win32\rfsub.o (6848, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64 (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\precompiled_rfsub\win64\rfsub.o (9840, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\rfsub.o (9840, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\classRF.cpp (33889, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\classTree.cpp (8947, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\cokus.cpp (7678, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\cokus_test.cpp (1189, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_predict.cpp (5225, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\mex_ClassificationRF_train.cpp (8545, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\qsort.c (4676, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\rf.h (5186, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\rfsub.f (15851, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\rfutils.cpp (9609, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\src\twonorm_C_wrapper.cpp (9865, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\tempbuild (0, 2013-09-02)
chapter30\RF_MexStandalone-v0.02\randomforest-matlab\RF_Class_C\test_ClassRF_extensively.m (604, 2013-09-02)
... ...

文件说明: 1. main.m为主程序,将该文件夹设置为MATLAB当前工作路径,运行即可。 2. data.mat为数据文件。 3. 在运行main.m文件前,需要安装好randomforest工具箱,具体而言,需要先运行mex -setup指令安装编译器(建议vs2005以上),然后运行 compile_windows.m文件即可。 4. 该程序在MATLAB2009a及2012b版本下测试通过,个别函数在低版本中不存在或者调用格式有所不同,参照对应版本中的帮助文档修改即可。

近期下载者

相关文件


收藏者